👨💻 Modelling consultant
🧮 numbers 📊 actuarial
📈 viz, interactivity, transparency
Public
Edited
Sep 16, 2024
viewof viz = embed(cashflows_spec({ premiums, width: 600 }), {
renderer,
actions: true,
patch: cashflows_spec_patch()
})
viz.signal("highlighting", true).run()
viz.getState()
{
viz.signal("grid_translate_anchor", {
x: 55.8125,
y: 12,
extent_x: [75, 150],
extent_y: [20, 40]
});
//viz.signal("grid", { t_in: [10], value: [10] }).run();
//viz.signal("grid_t_in", [10]);
//viz.signal("grid_value", [10]).run();
}
viz.signal("marker", 20).run()
cursor
cfs = await calcudata({
models: [model.js],
input_cursors: [cursor, { ...cursor, mort_rate_factor_in }],
//input_cursors: [{...cursor, stress_in: 'none',duration_mth_in:0},{...cursor, stress_in: 'none'}],
input_domains: {
t_in: _.range(
-model.js.duration_mth({ ...cursor, t_in: 0 }),
model.js.proj_len(cursor) + 0.1,
1
)
},
outputs: ["pv_premiums", "pv_claims", "pv_commissions", "pv_expenses"]
})
cfs_impacts = cashflows_summary_and_keep_add_subtract({
cfs,
offset: duration_mth_in,
singular: false
}).toArrow()
viz.data("source_0", cfs_impacts.toArray()).run()
JSON.stringify([...cfs_impacts])
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
